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Utah FORGE: Well Data for Student Competition

Well 58-32 (previously labeled MU-ESW1) was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. Well Accord-1 was drilled decades ago for geothermal exploration purposes. While ...

Podgorney, R. et al Idaho National Laboratory

Dec 07, 2018
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Utah FORGE: Sanvean Technologies Drilling Data from Well 16B(78)-32

Included here is Sanvean Technologies bit sensor data amalgamated with data from National Oilwell Varco's (NOV) BlackBox tool for Reed Hycalog bits used during drilling of Well 16B(78)-32. The dataset contains information collected at the bit while drilling including rate of penet...

Barker, C. Energy and Geoscience Institute at the University of Utah

Oct 26, 2023
5 Resources
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Utah FORGE: Milford Triaxial Test Data and Summary from EGI labs

Six samples were evaluated in unconfined and triaxial compression, their data are included in separate excel spreadsheets, and summarized in the word document. Three samples were plugged along the axis of the core (presumed to be nominally vertical) and three samples were plugged ...

Moore, J. Energy and Geoscience Institute at the University of Utah

Mar 01, 2016
8 Resources
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Portland DDU Feasibility Study: The Spatial and Temporal Evolution of the Portland and Tualatin Basins, Oregon, USA

The Portland and Tualatin basins are part of the Puget-Willamette Lowland in the Cascadia forearc of Oregon and Washington. The Coast Range to the west has undergone Paleogene transtension and Neogene transpression, which is reflected in basin stratigraphy. To better understand th...

Scanlon, D. Portland State University

Jul 29, 2019
1 Resources
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Seismic Survey 2016 Metadata at San Emidio, Nevada

1301 Vertical Component seismic instruments were deployed at San Emidio Geothermal field in Nevada in December 2016. The first record starts at 2016-12-05T02:00:00.000000Z (UTC) and the last record ends at 2016-12-11T14:00:59.998000Z (UTC). Data are stored in individual files in o...

Lord, N. et al University of Wisconsin

Dec 05, 2016
10 Resources
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Snake River Plain Play Fairway Analysis: Mountain Home Geothermal Area Natural State Model

The Mountain Home area is characterized by high heat flow and temperature gradient. Temperature data are available from 18 boreholes with depths equal to or greater than 200 m, 5 of which have depths ranging from ~1340 m to ~3390 m (MH-1, MH-2, Bostic1, Lawrence D No.1, and Anschu...

Garg, S. et al Utah State University

Jul 28, 2015
4 Resources
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Utah FORGE: Logs and Data from Deep Well 58-32 (MU-ESW1)

Data, logs, and graphics associated with the drilling and testing of Utah FORGE deep test well 58-32 (MU-ESW1) near Roosevelt Hot Springs.

Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah

Apr 11, 2018
11 Resources
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Utah FORGE: Phase 2C Seismic Observation and Ground Water Well Data and Well Locations

This submission contains the following data associated with Utah FORGE Phase 2C within the Roosevelt Hot Springs geothermal area: An ArcGIS shapefile with well locations for wells 58-32, 78-32, 68-32, OH-3, OH-4, WOW-2, and WOW-3. Well 58-32 is the deep test well, wells 68-32 an...

Abraham, S. et al Energy and Geoscience Institute at the University of Utah

Mar 26, 2019
6 Resources
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EGS Collab Experiment 1: 4850L Downhole Camera Surveys During Injection

This package includes data and footage from two rounds of downhole camera surveys performed at the Sanford Underground Research Facility (SURF) on the 4850 level. The exercise was performed once on 25 May 2018 and once on 21 December 2018. On May 25th, the first round was done dur...

Schwering, P. et al Sandia National Laboratories

May 25, 2018
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EGS Collab Experiment 1: Circulation Testing

These data and test descriptions comprise a chilled circulation test conducted at the 164' fracture in the EGS Collab Experiment 1 testbed on the 4850 ft level of the Sanford Underground Research Facility. Descriptions of the meta data, design drawings for the flow testing system,...

Knox, H. et al Lawrence Berkeley National Laboratory

Apr 01, 2019
11 Resources
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Water Use in Enhanced Geothermal Systems (EGS): Geology of U.S. Stimulation Projects, Water Costs, and Alternative Water Use Policies

According to the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE), geothermal energy generation in the United States is projected to more than triple by 2040 (EIA 2013). This addition, which translates to more than 5 GW of generation capacity, is anti...

Harto, C. et al Argonne National Laboratory

Dec 16, 2014
13 Resources
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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...

Buster, G. et al Upflow

Jun 30, 2021
11 Resources
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Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada

This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...

Folsom, M. et al Ormat Technologies, Inc.

Nov 09, 2016
11 Resources
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Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. Th...

Smith, J. and Beckers, K. Cornell University

Oct 29, 2019
10 Resources
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Basin and Range Investigation for Developing Geothermal Energy: Exploration Data

This data package includes exploration material from the Basin & Range Investigation for Developing Geothermal Energy [in Hidden Systems] project (BRIDGE), which is part of a broader initiative to advance the exploration of hidden geothermal resources in the Basin & Range Province...

Schwering, P. et al Sandia National Laboratories

Jan 03, 2022
16 Resources
1 Stars
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DEEPEN: Final 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). This was tested...

Taverna, N. et al National Renewable Energy Laboratory

Jan 24, 2024
14 Resources
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Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University

To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of...

Garapati, N. et al West Virginia University

Dec 20, 2019
13 Resources
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Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...

E., T. Cornell University

Sep 30, 2015
191 Resources
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Geothermal Development and the Use of Categorical Exclusions Under NEPA

This study focuses primarily on the Categorial Exclusions (CX) process and its applicability to geothermal exploration. In this paper, we: Provide generalized background information on CXs, including previous NEPA reports addressing CXs, the process for developing CXs, and the ro...

Young, K. and Levine, A. National Renewable Energy Laboratory

Sep 30, 2014
4 Resources
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Economic Impact of Permitting Timelines on Produced Geothermal Power

Despite having a large geothermal power potential in the United States, only a small fraction has been developed for power generation. Various barriers, including technical, financial, and regulatory permit delays, are attributed to lower contribution of geothermal energy in the n...

Neupane, G. and Adhikari, B. Idaho National Laboratory

Feb 15, 2022
3 Resources
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Characterizing favourable structural settings of geothermal reservoirs in extensional regions: Enhanced exploration strategies

Exploration of geothermal systems is commonly hampered by the risk of unsuccessful drilling. A major problem in selecting well sites is that the favorable settings of known systems are generally not adequately characterized. This is particularly important in amagmatic regions, wh...

Faulds, J. et al University of Nevada

Nov 30, 2010
1 Resources
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Advanced Geothermal Drilling and Logging Technologies

The objective of advanced drilling and logging technologies is to promote ways and means to reduce the cost of geothermal drilling through an integrated effort which involves developing an understanding of geothermal drilling and logging needs, elucidating best practices, and fost...

Raymond, D. et al Sandia National Laboratories

Dec 15, 2013
1 Resources
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Community Geothermal: Connecticut Workforce Needs Assessment Report and Data

Included here is a geothermal industry workforce needs assessment report for Connecticut. As part of the DOE-funded Community Geothermal Heating and Cooling Design and Deployment grant, Northeast Energy Efficiency Partnership (NEEP) conducted several online surveys to gain a bett...

Macpherson, C. et al Connecticut Department of Energy and Environmental Protection (CT DEEP)

Jan 22, 2024
1 Resources
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Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...

Duzgun, H. et al Colorado School of Mines

Jan 08, 2021
12 Resources
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Baseline System Costs for a 50 MW Enhanced Geothermal System 2012

Substantial unexploited opportunity exists for the US, and the world, in Enhanced Geothermal Systems (EGS). This cost analysis study provides a baseline cost for a 50 MW Geothermal Power Plant in a challenging New England environment. The study then assesses how project costs wo...

Selman, N. Gas Equipment Engineering Corporation

Apr 30, 2012
1 Resources
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